Development of a low-cost fall detection system for the elderly with accurate detection and real-time alerts

• Main Authors: Fitriawan, Helmy, Purwiyanti, Sri, Faturrohman, Ezza Ahmad, Santoso, Ma'ruf Fajar, Darajat, Annisa Ulya, Gunawan, Teddy Surya
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/115856/7/115856_Development%20of%20a%20low-cost.pdf; http://irep.iium.edu.my/115856/8/115856_Development%20of%20a%20low-cost_Scopus.pdf; http://irep.iium.edu.my/115856/; https://ieeexplore.ieee.org/document/10675589; https://doi.org/10.1109/ICSIMA62563.2024.10675589
• Institution: Universiti Islam Antarabangsa Malaysia

Falls are a substantial health concern for the elderly, with approximately 28-35% of individuals aged 65 and older experiencing them annually. An estimated 684,000 individuals die from falls each year, with over 80% of these deaths occurring in low- and middle-income countries. Falls are the second...